Semantic-based information retrieval of biomedical data

Authors:
Peng Yan;Yu Jiao;Ali R. Hurson;Thomas E. Potok
Affiliations:
The Pennsylvania State University, University Park, PA;Oak Ridge National Laboratory, MS;The Pennsylvania State University, University Park, PA;Oak Ridge National Laboratory, MS
Venue:
Proceedings of the 2006 ACM symposium on Applied computing
Year:
2006

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Abstract

In this paper, we propose to improve the effectiveness of biomedical information retrieval via a medical thesaurus. We analyzed the deficiencies of the existing medical thesauri and reconstructed a new thesaurus, called MEDTHES, which follows the ANSI/NISO Z39.19-2003 standard. MEDTHES also endows the users with fine-grained control of information retrieval by providing functions to calculate the semantic similarity between words. We demonstrate the usage of MEDTHES through an existing data search engine.